Annotated corpora are crucial language resources, and pre-annotation is an usual way to
reduce the cost of corpus construction. Ensemble based pre-annotation approach combines …

Annotated named entity corpora play a significant role in many natural language processing
applications. However, annotation by humans is time-consuming and costly. In this paper …

We compared two methods to annotate a corpus via non-expert annotators for named entity
(NE) recognition task, which are (1) revising the results of the existing NE recognizer and (2) …

Annotation projection is a practical method to deal with the low resource problem in incident
languages (IL) processing. Previous methods on annotation projection mainly relied on …

Automatic pre-annotation is often used to improve human annotation speed and accuracy.
We address here out-of-domain named entity annotation, and examine whether automatic …

The lack of hand curated data is a major impediment to developing statistical semantic
processors for many of the world languages. A major issue of semantic processors in Nat …

This article presents the application of the Universal Named Entity framework to generate
automatically annotated corpora. By using a workflow that extracts Wikipedia data and meta …

High quality annotated named entity corpora are essential language resources, but fully
manual annotation is time-consuming. Interactive annotation offers an efficient alternative …

Abstract Modern approaches in Natural Language Processing (NLP) require, ideally, large
amounts of labelled data for model training. However, new language resources, for …

Entity Linking performance has a strong reliance on having a large quantity of high-quality
annotated training data available. Yet, manual annotation of named entities, especially their …